Xuewen Luo
Orcid: 0009-0006-7737-1178
According to our database1,
Xuewen Luo
authored at least 28 papers
between 2019 and 2025.
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Bibliography
2025
GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction.
CoRR, August, 2025
Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance.
CoRR, August, 2025
Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst., June, 2025
CoRR, June, 2025
V2X-UniPool: Unifying Multimodal Perception and Knowledge Reasoning for Autonomous Driving.
CoRR, June, 2025
CoRR, March, 2025
IEEE Trans. Instrum. Meas., 2025
SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
"What's Happening"- A Human-centered Multimodal Interpreter Explaining the Actions of Autonomous Vehicles.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
2024
Intelligent Reflecting Surface Assisted Physical Layer Security: A Deep Learning Approach.
IEEE Wirel. Commun., October, 2024
LEO/VLEO Satellite Communications in 6G and Beyond Networks-Technologies, Applications, and Challenges.
IEEE Netw., September, 2024
RIS-Based on-the-Air Semantic Communications - A Diffractional Deep Neural Network Approach.
IEEE Wirel. Commun., August, 2024
Multimodal and Multiuser Semantic Communications for Channel-Level Information Fusion.
IEEE Wirel. Commun., April, 2024
PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving.
CoRR, 2024
KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Cross-Domain Transfer Learning Using Attention Latent Features for Multi-Agent Trajectory Prediction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
FedBChain: A Blockchain-Enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy Insights.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Energy-Efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
An Ethical Decision Making Algorithm for Autonomous Vehicles During an Inevitable Collision.
Proceedings of the 2024 4th International Conference on Big Data, 2024
2023
PHY Security Design for Mobile Crowd Computing in ICV Networks Based on Multi-Agent Reinforcement Learning.
IEEE Trans. Wirel. Commun., October, 2023
Power Efficiency Physical Layer Security for Multiple Users in IRS-Assisted Uplink Channels: Learning to Phase Shift.
Proceedings of the IEEE Global Communications Conference, 2023
2022
IEEE Wirel. Commun., 2022
2021
Artificial Noise Assisted Secure Mobile Crowd Computing in Intelligently Connected Vehicular Networks.
IEEE Trans. Veh. Technol., 2021
2020
How Much Can Radio Resource Allocation Help to Improve Secrecy Capacity of V2V Underlay Cellular Networks?
IEEE Trans. Veh. Technol., 2020
IEEE Netw., 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
2019
Joint Resource Allocation and Secrecy Capacity optimization in V2V Communications : (Invited Paper).
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019